A review on fuzzy linguistic approach in Artificial Intelligent Applications

– The purpose of this paper is to review the literature on fuzzy linguistic approach and suggest possible gaps from the view point of researchers and practitioners. The most significant point of interaction between Artificial Intelligence (AI) and fuzzy set theory is the ability of fuzzy linguistic reasoning to provide extensions of the many interesting knowledge representation structures introduced in AI to allow the flexibility and subtlety characteristic of true human reasoning. This research focuses on application of this approach in AI and analyzes its gaps within a range of diagnosed categories. The review reveals that a new shift in linguistic approach has occurred in the scope of AI. Number of papers reviewed in this field and suggests a classification into various areas and sub areas. Subsequently, various emerging trends in the field of artificial intelligent are identified to help researchers specify gaps in the literature and direct research efforts suitably. The paper contains a comprehensive listing of publications on the field in question and their classification according to various attributes. The paper will be useful to researchers, fuzzy professionals and others concerned with artificial intelligent to understand the importance of linguistic variables in AI.

: Artificial intelligent, Linguistic variables, Fuzzy logic